Overview

Brought to you by YData

Dataset statistics

Number of variables22
Number of observations93132
Missing cells0
Missing cells (%)0.0%
Duplicate rows23662
Duplicate rows (%)25.4%
Total size in memory15.3 MiB
Average record size in memory172.0 B

Variable types

DateTime1
Numeric20
Categorical1

Alerts

label has constant value "1"Constant
Dataset has 23662 (25.4%) duplicate rowsDuplicates
Alpha_AF7 is highly overall correlated with Delta_AF7 and 1 other fieldsHigh correlation
Alpha_AF8 is highly overall correlated with Delta_AF8 and 1 other fieldsHigh correlation
Alpha_TP10 is highly overall correlated with Beta_TP10 and 1 other fieldsHigh correlation
Alpha_TP9 is highly overall correlated with Beta_TP9 and 3 other fieldsHigh correlation
Beta_AF7 is highly overall correlated with Gamma_AF7High correlation
Beta_AF8 is highly overall correlated with Gamma_AF8High correlation
Beta_TP10 is highly overall correlated with Alpha_TP10High correlation
Beta_TP9 is highly overall correlated with Alpha_TP9 and 1 other fieldsHigh correlation
Delta_AF7 is highly overall correlated with Alpha_AF7 and 3 other fieldsHigh correlation
Delta_AF8 is highly overall correlated with Alpha_AF8 and 2 other fieldsHigh correlation
Delta_TP10 is highly overall correlated with Theta_TP10High correlation
Delta_TP9 is highly overall correlated with Alpha_TP9 and 1 other fieldsHigh correlation
Gamma_AF7 is highly overall correlated with Beta_AF7 and 1 other fieldsHigh correlation
Gamma_AF8 is highly overall correlated with Beta_AF8 and 1 other fieldsHigh correlation
Gamma_TP9 is highly overall correlated with Alpha_TP9 and 1 other fieldsHigh correlation
Theta_AF7 is highly overall correlated with Alpha_AF7 and 1 other fieldsHigh correlation
Theta_AF8 is highly overall correlated with Alpha_AF8 and 2 other fieldsHigh correlation
Theta_TP10 is highly overall correlated with Alpha_TP10 and 2 other fieldsHigh correlation
Theta_TP9 is highly overall correlated with Alpha_TP9 and 2 other fieldsHigh correlation

Reproduction

Analysis started2024-11-05 23:01:16.581337
Analysis finished2024-11-05 23:02:20.315233
Duration1 minute and 3.73 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

Distinct68280
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size727.7 KiB
Minimum2024-10-11 20:07:27.895000
Maximum2024-10-11 20:28:58.410000
2024-11-05T18:02:20.600032image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:21.047730image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Delta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct2025
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65480988
Minimum-0.4066183
Maximum1.6268902
Zeros0
Zeros (%)0.0%
Negative2880
Negative (%)3.1%
Memory size727.7 KiB
2024-11-05T18:02:21.370342image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.4066183
5-th percentile0.055287007
Q10.3728329
median0.6501019
Q30.92930394
95-th percentile1.246645
Maximum1.6268902
Range2.0335085
Interquartile range (IQR)0.55647104

Descriptive statistics

Standard deviation0.37030548
Coefficient of variation (CV)0.56551603
Kurtosis-0.54175401
Mean0.65480988
Median Absolute Deviation (MAD)0.27867383
Skewness0.0389894
Sum60983.753
Variance0.13712615
MonotonicityNot monotonic
2024-11-05T18:02:21.595149image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8548608 1181
 
1.3%
0.24433658 1032
 
1.1%
1.1459153 1013
 
1.1%
0.503338 933
 
1.0%
0.9714043 892
 
1.0%
0.720724 834
 
0.9%
1.3037685 811
 
0.9%
0.55017835 781
 
0.8%
0.62024903 729
 
0.8%
0.5432646 728
 
0.8%
Other values (2015) 84198
90.4%
ValueCountFrequency (%)
-0.4066183 25
 
< 0.1%
-0.35331142 26
 
< 0.1%
-0.30703834 26
 
< 0.1%
-0.30341488 26
 
< 0.1%
-0.2776039 26
 
< 0.1%
-0.2645603 13
 
< 0.1%
-0.24670486 26
 
< 0.1%
-0.23525964 234
0.3%
-0.22480272 26
 
< 0.1%
-0.21681657 26
 
< 0.1%
ValueCountFrequency (%)
1.6268902 37
 
< 0.1%
1.6078422 283
0.3%
1.5715742 201
0.2%
1.5611825 413
0.4%
1.5336055 26
 
< 0.1%
1.5158995 26
 
< 0.1%
1.4968649 26
 
< 0.1%
1.4807439 113
 
0.1%
1.4740888 26
 
< 0.1%
1.4563652 219
0.2%

Delta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct3447
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45722999
Minimum-0.92510855
Maximum1.6161761
Zeros0
Zeros (%)0.0%
Negative15488
Negative (%)16.6%
Memory size727.7 KiB
2024-11-05T18:02:21.888751image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.92510855
5-th percentile-0.26292348
Q10.14642774
median0.49670115
Q30.77903223
95-th percentile1.0646731
Maximum1.6161761
Range2.5412846
Interquartile range (IQR)0.63260449

Descriptive statistics

Standard deviation0.41326347
Coefficient of variation (CV)0.90384155
Kurtosis-0.68632946
Mean0.45722999
Median Absolute Deviation (MAD)0.31154765
Skewness-0.23429032
Sum42582.744
Variance0.17078669
MonotonicityNot monotonic
2024-11-05T18:02:22.072785image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0310216 457
 
0.5%
1.0066998 451
 
0.5%
0.41965392 333
 
0.4%
1.3669397 301
 
0.3%
0.8774651 260
 
0.3%
-0.43116146 234
 
0.3%
0.9889118 234
 
0.3%
0.5969188 234
 
0.3%
0.057777587 233
 
0.3%
0.6275311 208
 
0.2%
Other values (3437) 90187
96.8%
ValueCountFrequency (%)
-0.92510855 23
< 0.1%
-0.80609256 26
< 0.1%
-0.78010714 13
< 0.1%
-0.65370923 26
< 0.1%
-0.6323575 26
< 0.1%
-0.6192648 26
< 0.1%
-0.59861416 26
< 0.1%
-0.56284946 26
< 0.1%
-0.5175846 26
< 0.1%
-0.48228312 26
< 0.1%
ValueCountFrequency (%)
1.6161761 26
 
< 0.1%
1.5259304 26
 
< 0.1%
1.449642 26
 
< 0.1%
1.3857436 26
 
< 0.1%
1.3754667 147
0.2%
1.3669397 301
0.3%
1.3475959 7
 
< 0.1%
1.3369989 26
 
< 0.1%
1.3117636 26
 
< 0.1%
1.3110306 26
 
< 0.1%

Delta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct3323
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63867392
Minimum-0.819825
Maximum1.5363847
Zeros0
Zeros (%)0.0%
Negative9190
Negative (%)9.9%
Memory size727.7 KiB
2024-11-05T18:02:22.248075image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.819825
5-th percentile-0.17828499
Q10.37506652
median0.7048283
Q30.97668374
95-th percentile1.2512648
Maximum1.5363847
Range2.3562097
Interquartile range (IQR)0.60161722

Descriptive statistics

Standard deviation0.43443468
Coefficient of variation (CV)0.68021359
Kurtosis-0.30595944
Mean0.63867392
Median Absolute Deviation (MAD)0.2932449
Skewness-0.53195722
Sum59480.98
Variance0.18873349
MonotonicityNot monotonic
2024-11-05T18:02:22.541666image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0344199 552
 
0.6%
1.1615596 399
 
0.4%
0.39198193 390
 
0.4%
1.2906314 379
 
0.4%
0.8371794 307
 
0.3%
1.0350587 286
 
0.3%
1.3477155 267
 
0.3%
1.176159 260
 
0.3%
0.9850477 260
 
0.3%
0.4111793 217
 
0.2%
Other values (3313) 89815
96.4%
ValueCountFrequency (%)
-0.819825 1
 
< 0.1%
-0.7588573 26
< 0.1%
-0.7299423 26
< 0.1%
-0.7192198 26
< 0.1%
-0.7054448 26
< 0.1%
-0.70138705 26
< 0.1%
-0.6976622 26
< 0.1%
-0.6871712 26
< 0.1%
-0.58906347 26
< 0.1%
-0.58732677 23
< 0.1%
ValueCountFrequency (%)
1.5363847 59
 
0.1%
1.5362073 26
 
< 0.1%
1.5098549 26
 
< 0.1%
1.5023584 151
0.2%
1.488448 26
 
< 0.1%
1.4844685 26
 
< 0.1%
1.478211 26
 
< 0.1%
1.4743334 13
 
< 0.1%
1.4673808 26
 
< 0.1%
1.4651284 26
 
< 0.1%

Delta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1936
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6527356
Minimum-0.40795213
Maximum1.6466205
Zeros0
Zeros (%)0.0%
Negative2095
Negative (%)2.2%
Memory size727.7 KiB
2024-11-05T18:02:22.791046image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.40795213
5-th percentile0.084643394
Q10.38436386
median0.65353537
Q30.9203416
95-th percentile1.2189987
Maximum1.6466205
Range2.0545726
Interquartile range (IQR)0.53597774

Descriptive statistics

Standard deviation0.35736079
Coefficient of variation (CV)0.54748169
Kurtosis-0.38225175
Mean0.6527356
Median Absolute Deviation (MAD)0.26680623
Skewness0.067436817
Sum60790.572
Variance0.12770673
MonotonicityNot monotonic
2024-11-05T18:02:23.081562image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.970106 900
 
1.0%
0.9203416 840
 
0.9%
0.33935818 834
 
0.9%
0.8984535 804
 
0.9%
0.72088814 729
 
0.8%
0.91159415 728
 
0.8%
0.68818194 720
 
0.8%
0.8114598 708
 
0.8%
0.331203 696
 
0.7%
0.5346496 663
 
0.7%
Other values (1926) 85510
91.8%
ValueCountFrequency (%)
-0.40795213 26
< 0.1%
-0.3846707 26
< 0.1%
-0.37529278 26
< 0.1%
-0.3402325 26
< 0.1%
-0.30089107 26
< 0.1%
-0.28953975 26
< 0.1%
-0.24177319 26
< 0.1%
-0.22066571 26
< 0.1%
-0.21226408 26
< 0.1%
-0.20894247 26
< 0.1%
ValueCountFrequency (%)
1.6466205 413
0.4%
1.617243 26
 
< 0.1%
1.5870334 234
0.3%
1.5856766 26
 
< 0.1%
1.5626559 26
 
< 0.1%
1.5625769 26
 
< 0.1%
1.5406682 26
 
< 0.1%
1.5143292 104
 
0.1%
1.5056713 26
 
< 0.1%
1.4961166 26
 
< 0.1%

Theta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct2024
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50429921
Minimum-0.5483735
Maximum1.3808128
Zeros0
Zeros (%)0.0%
Negative5413
Negative (%)5.8%
Memory size727.7 KiB
2024-11-05T18:02:23.374264image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.5483735
5-th percentile-0.014268812
Q10.27768177
median0.46987867
Q30.7242026
95-th percentile1.0705754
Maximum1.3808128
Range1.9291863
Interquartile range (IQR)0.44652083

Descriptive statistics

Standard deviation0.32955866
Coefficient of variation (CV)0.65349826
Kurtosis-0.30756474
Mean0.50429921
Median Absolute Deviation (MAD)0.21972019
Skewness0.16357485
Sum46966.394
Variance0.10860891
MonotonicityNot monotonic
2024-11-05T18:02:23.627690image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.37920317 1181
 
1.3%
0.15072766 1032
 
1.1%
0.27768177 1013
 
1.1%
0.39718598 933
 
1.0%
0.29576227 892
 
1.0%
0.50082356 834
 
0.9%
0.8857079 811
 
0.9%
0.36313382 781
 
0.8%
1.0705754 729
 
0.8%
0.1994112 728
 
0.8%
Other values (2014) 84198
90.4%
ValueCountFrequency (%)
-0.5483735 26
 
< 0.1%
-0.54677963 26
 
< 0.1%
-0.468387 26
 
< 0.1%
-0.3914322 26
 
< 0.1%
-0.2998155 26
 
< 0.1%
-0.26797706 26
 
< 0.1%
-0.25772476 229
0.2%
-0.24533711 26
 
< 0.1%
-0.23989587 25
 
< 0.1%
-0.23421016 26
 
< 0.1%
ValueCountFrequency (%)
1.3808128 26
 
< 0.1%
1.3777719 3
 
< 0.1%
1.3703897 26
 
< 0.1%
1.3702104 113
0.1%
1.3661493 26
 
< 0.1%
1.3569283 26
 
< 0.1%
1.3479897 26
 
< 0.1%
1.3172623 26
 
< 0.1%
1.3027948 26
 
< 0.1%
1.2892429 37
 
< 0.1%

Theta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct3447
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16394771
Minimum-0.8418786
Maximum1.1401818
Zeros0
Zeros (%)0.0%
Negative30358
Negative (%)32.6%
Memory size727.7 KiB
2024-11-05T18:02:23.878855image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.8418786
5-th percentile-0.3405064
Q1-0.060043678
median0.1497622
Q30.40115562
95-th percentile0.73818104
Maximum1.1401818
Range1.9820604
Interquartile range (IQR)0.4611993

Descriptive statistics

Standard deviation0.331684
Coefficient of variation (CV)2.0231085
Kurtosis-0.23114919
Mean0.16394771
Median Absolute Deviation (MAD)0.22957927
Skewness0.064703098
Sum15268.778
Variance0.11001428
MonotonicityNot monotonic
2024-11-05T18:02:24.138977image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.37056646 457
 
0.5%
0.5223586 451
 
0.5%
-0.0105515905 333
 
0.4%
0.88673496 301
 
0.3%
0.36224166 260
 
0.3%
-0.71442664 234
 
0.3%
0.48428544 234
 
0.3%
0.34968382 234
 
0.3%
-0.5740659 233
 
0.3%
0.45557728 208
 
0.2%
Other values (3437) 90187
96.8%
ValueCountFrequency (%)
-0.8418786 13
 
< 0.1%
-0.79780537 26
 
< 0.1%
-0.71442664 234
0.3%
-0.70774245 26
 
< 0.1%
-0.7068773 26
 
< 0.1%
-0.7035678 26
 
< 0.1%
-0.6983037 26
 
< 0.1%
-0.6951479 26
 
< 0.1%
-0.6920987 26
 
< 0.1%
-0.6892758 26
 
< 0.1%
ValueCountFrequency (%)
1.1401818 26
 
< 0.1%
1.0794389 147
0.2%
1.0479109 26
 
< 0.1%
0.97337186 26
 
< 0.1%
0.970942 26
 
< 0.1%
0.9706586 26
 
< 0.1%
0.97025084 26
 
< 0.1%
0.96922123 26
 
< 0.1%
0.9682486 26
 
< 0.1%
0.9671332 26
 
< 0.1%

Theta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct3323
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28664016
Minimum-0.6408732
Maximum1.2264467
Zeros0
Zeros (%)0.0%
Negative20275
Negative (%)21.8%
Memory size727.7 KiB
2024-11-05T18:02:24.381082image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.6408732
5-th percentile-0.29289982
Q10.035651185
median0.2803321
Q30.5391985
95-th percentile0.8654906
Maximum1.2264467
Range1.8673199
Interquartile range (IQR)0.50354732

Descriptive statistics

Standard deviation0.34912171
Coefficient of variation (CV)1.2179791
Kurtosis-0.5154223
Mean0.28664016
Median Absolute Deviation (MAD)0.25131178
Skewness0.004699375
Sum26695.371
Variance0.12188597
MonotonicityNot monotonic
2024-11-05T18:02:24.605941image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.49754038 552
 
0.6%
0.3764197 399
 
0.4%
0.16200906 390
 
0.4%
0.7904688 379
 
0.4%
0.1898672 307
 
0.3%
1.0089986 286
 
0.3%
1.1118422 267
 
0.3%
0.97920865 260
 
0.3%
0.61912215 260
 
0.3%
0.6763027 217
 
0.2%
Other values (3313) 89815
96.4%
ValueCountFrequency (%)
-0.6408732 23
< 0.1%
-0.6363553 26
< 0.1%
-0.62624353 26
< 0.1%
-0.6083444 26
< 0.1%
-0.5932624 26
< 0.1%
-0.5922298 26
< 0.1%
-0.58710265 26
< 0.1%
-0.5826353 26
< 0.1%
-0.56183743 26
< 0.1%
-0.5562627 26
< 0.1%
ValueCountFrequency (%)
1.2264467 26
 
< 0.1%
1.1959379 26
 
< 0.1%
1.1495273 26
 
< 0.1%
1.1252402 3
 
< 0.1%
1.1118422 267
0.3%
1.1034218 26
 
< 0.1%
1.0995914 127
0.1%
1.099416 208
0.2%
1.0992439 26
 
< 0.1%
1.0973222 26
 
< 0.1%

Theta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1936
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.51032233
Minimum-0.5193906
Maximum1.4757864
Zeros0
Zeros (%)0.0%
Negative5113
Negative (%)5.5%
Memory size727.7 KiB
2024-11-05T18:02:24.862932image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.5193906
5-th percentile-0.021126315
Q10.2794766
median0.4785199
Q30.7395557
95-th percentile1.0575439
Maximum1.4757864
Range1.995177
Interquartile range (IQR)0.4600791

Descriptive statistics

Standard deviation0.33586308
Coefficient of variation (CV)0.6581391
Kurtosis-0.20440105
Mean0.51032233
Median Absolute Deviation (MAD)0.2302777
Skewness0.14732398
Sum47527.34
Variance0.11280401
MonotonicityNot monotonic
2024-11-05T18:02:25.183874image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0575439 900
 
1.0%
0.36939204 840
 
0.9%
0.14967561 834
 
0.9%
0.48981854 804
 
0.9%
0.7087976 729
 
0.8%
0.23688008 728
 
0.8%
0.41827935 720
 
0.8%
0.14673063 708
 
0.8%
0.90752286 696
 
0.7%
0.4801745 663
 
0.7%
Other values (1926) 85510
91.8%
ValueCountFrequency (%)
-0.5193906 25
 
< 0.1%
-0.4548992 26
 
< 0.1%
-0.41193464 156
0.2%
-0.4045313 26
 
< 0.1%
-0.39709827 26
 
< 0.1%
-0.37971845 26
 
< 0.1%
-0.3346983 26
 
< 0.1%
-0.3321581 26
 
< 0.1%
-0.2906913 26
 
< 0.1%
-0.2461225 26
 
< 0.1%
ValueCountFrequency (%)
1.4757864 26
 
< 0.1%
1.4697113 3
 
< 0.1%
1.4640123 130
0.1%
1.4189924 26
 
< 0.1%
1.4137526 26
 
< 0.1%
1.4085382 26
 
< 0.1%
1.3949481 104
0.1%
1.3807642 26
 
< 0.1%
1.3788711 26
 
< 0.1%
1.3563304 26
 
< 0.1%

Alpha_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct1497
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.75289295
Minimum-0.2659914
Maximum1.5715884
Zeros0
Zeros (%)0.0%
Negative208
Negative (%)0.2%
Memory size727.7 KiB
2024-11-05T18:02:25.469656image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.2659914
5-th percentile0.2765978
Q10.50327265
median0.7383845
Q30.9744519
95-th percentile1.3478286
Maximum1.5715884
Range1.8375798
Interquartile range (IQR)0.47117925

Descriptive statistics

Standard deviation0.32297032
Coefficient of variation (CV)0.42897244
Kurtosis-0.42781103
Mean0.75289295
Median Absolute Deviation (MAD)0.23511185
Skewness0.1692219
Sum70118.426
Variance0.10430983
MonotonicityNot monotonic
2024-11-05T18:02:25.715947image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.61294806 1181
 
1.3%
0.50327265 1032
 
1.1%
0.76277846 1013
 
1.1%
0.7383845 933
 
1.0%
0.961556 892
 
1.0%
1.4000418 841
 
0.9%
0.46912202 840
 
0.9%
0.5203629 834
 
0.9%
0.4731031 781
 
0.8%
0.99745905 729
 
0.8%
Other values (1487) 84056
90.3%
ValueCountFrequency (%)
-0.2659914 26
 
< 0.1%
-0.16333115 26
 
< 0.1%
-0.1466284 26
 
< 0.1%
-0.104117684 26
 
< 0.1%
-0.096895486 26
 
< 0.1%
-0.08412607 26
 
< 0.1%
-0.024126153 26
 
< 0.1%
-0.0036403653 26
 
< 0.1%
0.026288481 127
0.1%
0.036457196 156
0.2%
ValueCountFrequency (%)
1.5715884 26
 
< 0.1%
1.5714474 26
 
< 0.1%
1.568917 26
 
< 0.1%
1.56762 26
 
< 0.1%
1.5620966 26
 
< 0.1%
1.5281411 26
 
< 0.1%
1.5250751 26
 
< 0.1%
1.5245017 26
 
< 0.1%
1.5139488 217
0.2%
1.4972478 26
 
< 0.1%

Alpha_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct2632
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22590965
Minimum-0.6571536
Maximum1.4254296
Zeros0
Zeros (%)0.0%
Negative16519
Negative (%)17.7%
Memory size727.7 KiB
2024-11-05T18:02:25.996420image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.6571536
5-th percentile-0.17126256
Q10.057095494
median0.20492558
Q30.365522
95-th percentile0.7006869
Maximum1.4254296
Range2.0825832
Interquartile range (IQR)0.30842651

Descriptive statistics

Standard deviation0.27319973
Coefficient of variation (CV)1.2093318
Kurtosis2.8193025
Mean0.22590965
Median Absolute Deviation (MAD)0.15585219
Skewness0.89820672
Sum21039.417
Variance0.074638094
MonotonicityNot monotonic
2024-11-05T18:02:26.291180image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.09081808 457
 
0.5%
0.0675782 451
 
0.5%
0.39746043 390
 
0.4%
0.826679 355
 
0.4%
0.5495696 338
 
0.4%
-0.16671829 333
 
0.4%
1.2772771 325
 
0.3%
1.4254296 319
 
0.3%
0.7006869 312
 
0.3%
0.5645193 301
 
0.3%
Other values (2622) 89551
96.2%
ValueCountFrequency (%)
-0.6571536 130
0.1%
-0.6016598 26
 
< 0.1%
-0.5653102 26
 
< 0.1%
-0.5512516 13
 
< 0.1%
-0.53273416 26
 
< 0.1%
-0.49789524 1
 
< 0.1%
-0.49599022 234
0.3%
-0.4808539 26
 
< 0.1%
-0.47743264 26
 
< 0.1%
-0.4391642 26
 
< 0.1%
ValueCountFrequency (%)
1.4254296 319
0.3%
1.4223223 104
 
0.1%
1.4218303 234
0.3%
1.4186158 52
 
0.1%
1.2772771 325
0.3%
1.0823598 52
 
0.1%
1.0473018 135
0.1%
0.9176882 286
0.3%
0.9174161 26
 
< 0.1%
0.9099289 26
 
< 0.1%

Alpha_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct2465
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.29474486
Minimum-0.4616075
Maximum1.243128
Zeros0
Zeros (%)0.0%
Negative11218
Negative (%)12.0%
Memory size727.7 KiB
2024-11-05T18:02:26.513847image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.4616075
5-th percentile-0.12406159
Q10.13288774
median0.30044657
Q30.46821472
95-th percentile0.67729926
Maximum1.243128
Range1.7047355
Interquartile range (IQR)0.33532698

Descriptive statistics

Standard deviation0.24948503
Coefficient of variation (CV)0.84644406
Kurtosis0.47092946
Mean0.29474486
Median Absolute Deviation (MAD)0.16776815
Skewness0.11548685
Sum27450.178
Variance0.062242783
MonotonicityNot monotonic
2024-11-05T18:02:26.771522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.32135877 593
 
0.6%
0.3746789 552
 
0.6%
0.5274519 444
 
0.5%
0.19874755 416
 
0.4%
0.026003499 399
 
0.4%
1.045091 390
 
0.4%
0.49975583 338
 
0.4%
0.8933622 338
 
0.4%
1.243128 325
 
0.3%
0.41250572 312
 
0.3%
Other values (2455) 89025
95.6%
ValueCountFrequency (%)
-0.4616075 26
 
< 0.1%
-0.3839097 26
 
< 0.1%
-0.383663 26
 
< 0.1%
-0.37808165 26
 
< 0.1%
-0.3749986 26
 
< 0.1%
-0.36710402 26
 
< 0.1%
-0.35690325 130
0.1%
-0.34485126 78
0.1%
-0.33808634 26
 
< 0.1%
-0.33698758 26
 
< 0.1%
ValueCountFrequency (%)
1.243128 325
0.3%
1.045091 390
0.4%
0.99245083 211
0.2%
0.8933622 338
0.4%
0.8930008 59
 
0.1%
0.88733643 26
 
< 0.1%
0.8693608 260
0.3%
0.86883736 26
 
< 0.1%
0.86648095 26
 
< 0.1%
0.8646366 26
 
< 0.1%

Alpha_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1490
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63752731
Minimum-0.17881756
Maximum1.6388506
Zeros0
Zeros (%)0.0%
Negative841
Negative (%)0.9%
Memory size727.7 KiB
2024-11-05T18:02:27.050980image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.17881756
5-th percentile0.17235813
Q10.45381102
median0.62921435
Q30.82828593
95-th percentile1.1222762
Maximum1.6388506
Range1.8176682
Interquartile range (IQR)0.37447491

Descriptive statistics

Standard deviation0.29204282
Coefficient of variation (CV)0.45808676
Kurtosis0.19129756
Mean0.63752731
Median Absolute Deviation (MAD)0.18893905
Skewness0.26502533
Sum59374.193
Variance0.085289008
MonotonicityNot monotonic
2024-11-05T18:02:27.969484image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.59635174 900
 
1.0%
0.48933876 840
 
0.9%
0.46256658 834
 
0.9%
0.36347038 804
 
0.9%
0.7021598 729
 
0.8%
0.32243833 728
 
0.8%
0.16818863 720
 
0.8%
0.5747402 708
 
0.8%
0.45876932 696
 
0.7%
0.4307929 663
 
0.7%
Other values (1480) 85510
91.8%
ValueCountFrequency (%)
-0.17881756 55
 
0.1%
-0.07815777 26
 
< 0.1%
-0.053116135 73
 
0.1%
-0.049040675 185
0.2%
-0.03872497 26
 
< 0.1%
-0.037181914 25
 
< 0.1%
-0.036758613 26
 
< 0.1%
-0.029713215 26
 
< 0.1%
-0.023484789 26
 
< 0.1%
-0.018240327 26
 
< 0.1%
ValueCountFrequency (%)
1.6388506 312
0.3%
1.6348145 26
 
< 0.1%
1.601724 26
 
< 0.1%
1.5069225 26
 
< 0.1%
1.4588228 273
0.3%
1.4331067 130
0.1%
1.4249827 3
 
< 0.1%
1.4157469 26
 
< 0.1%
1.3827449 26
 
< 0.1%
1.3705559 26
 
< 0.1%

Beta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct2025
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55366108
Minimum-0.010375219
Maximum1.5324174
Zeros0
Zeros (%)0.0%
Negative55
Negative (%)0.1%
Memory size727.7 KiB
2024-11-05T18:02:28.406581image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.010375219
5-th percentile0.21227449
Q10.3924923
median0.5164433
Q30.65079266
95-th percentile1.123079
Maximum1.5324174
Range1.5427926
Interquartile range (IQR)0.25830036

Descriptive statistics

Standard deviation0.25200936
Coefficient of variation (CV)0.455169
Kurtosis1.3545223
Mean0.55366108
Median Absolute Deviation (MAD)0.13029505
Skewness1.0103554
Sum51563.564
Variance0.063508717
MonotonicityNot monotonic
2024-11-05T18:02:28.932295image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.62035483 1181
 
1.3%
0.23506914 1032
 
1.1%
0.5729701 1013
 
1.1%
0.55760115 933
 
1.0%
0.5665723 892
 
1.0%
0.29886454 834
 
0.9%
0.48109543 811
 
0.9%
0.3924923 781
 
0.8%
0.48019487 729
 
0.8%
0.1565919 728
 
0.8%
Other values (2015) 84198
90.4%
ValueCountFrequency (%)
-0.0103752185 55
 
0.1%
0.0340103 26
 
< 0.1%
0.034593146 90
0.1%
0.038669147 156
0.2%
0.050163176 26
 
< 0.1%
0.050810132 26
 
< 0.1%
0.05844798 130
0.1%
0.058776658 55
 
0.1%
0.06261715 26
 
< 0.1%
0.0678778 26
 
< 0.1%
ValueCountFrequency (%)
1.5324174 37
 
< 0.1%
1.53144 26
 
< 0.1%
1.5308232 26
 
< 0.1%
1.5083057 26
 
< 0.1%
1.5022407 26
 
< 0.1%
1.4729125 26
 
< 0.1%
1.4551746 99
0.1%
1.4359267 26
 
< 0.1%
1.4022601 26
 
< 0.1%
1.3886945 26
 
< 0.1%

Beta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct3447
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.077797228
Minimum-0.4839949
Maximum0.8430465
Zeros0
Zeros (%)0.0%
Negative40236
Negative (%)43.2%
Memory size727.7 KiB
2024-11-05T18:02:29.302592image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.4839949
5-th percentile-0.26036564
Q1-0.12069628
median0.071410745
Q30.269276
95-th percentile0.45357564
Maximum0.8430465
Range1.3270414
Interquartile range (IQR)0.38997228

Descriptive statistics

Standard deviation0.23392517
Coefficient of variation (CV)3.0068574
Kurtosis-0.62460957
Mean0.077797228
Median Absolute Deviation (MAD)0.19543331
Skewness0.28588264
Sum7245.4114
Variance0.054720983
MonotonicityNot monotonic
2024-11-05T18:02:29.659051image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2070782 457
 
0.5%
0.55822223 451
 
0.5%
-0.078772925 333
 
0.4%
0.47307786 301
 
0.3%
0.37011835 260
 
0.3%
-0.11288537 234
 
0.3%
-0.017280199 234
 
0.3%
0.061751466 234
 
0.3%
0.16112296 233
 
0.3%
0.38990173 208
 
0.2%
Other values (3437) 90187
96.8%
ValueCountFrequency (%)
-0.4839949 9
 
< 0.1%
-0.4824545 26
< 0.1%
-0.46651953 26
< 0.1%
-0.43364984 26
< 0.1%
-0.40423828 26
< 0.1%
-0.40408245 26
< 0.1%
-0.40230033 26
< 0.1%
-0.39294776 26
< 0.1%
-0.39179194 26
< 0.1%
-0.3878536 26
< 0.1%
ValueCountFrequency (%)
0.8430465 26
< 0.1%
0.8333987 13
< 0.1%
0.8214703 26
< 0.1%
0.8035119 26
< 0.1%
0.80059934 26
< 0.1%
0.79716283 26
< 0.1%
0.7960598 26
< 0.1%
0.7838665 26
< 0.1%
0.7720963 26
< 0.1%
0.7705752 26
< 0.1%

Beta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct3323
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.049746772
Minimum-0.37368545
Maximum0.90939146
Zeros0
Zeros (%)0.0%
Negative36132
Negative (%)38.8%
Memory size727.7 KiB
2024-11-05T18:02:29.971425image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.37368545
5-th percentile-0.22431226
Q1-0.062128887
median0.05022099
Q30.15385593
95-th percentile0.323874
Maximum0.90939146
Range1.2830769
Interquartile range (IQR)0.21598482

Descriptive statistics

Standard deviation0.17051581
Coefficient of variation (CV)3.4276758
Kurtosis1.9536319
Mean0.049746772
Median Absolute Deviation (MAD)0.10762668
Skewness0.5928818
Sum4633.0163
Variance0.02907564
MonotonicityNot monotonic
2024-11-05T18:02:30.342766image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.20725484 552
 
0.6%
-0.2207985 399
 
0.4%
0.102858655 390
 
0.4%
0.15385593 379
 
0.4%
0.05279614 307
 
0.3%
0.119648196 286
 
0.3%
0.41245505 267
 
0.3%
-0.11098117 260
 
0.3%
0.09449412 260
 
0.3%
-0.12894614 217
 
0.2%
Other values (3313) 89815
96.4%
ValueCountFrequency (%)
-0.37368545 26
< 0.1%
-0.37302437 26
< 0.1%
-0.3664468 26
< 0.1%
-0.3640796 26
< 0.1%
-0.36150864 26
< 0.1%
-0.3585413 26
< 0.1%
-0.35811076 26
< 0.1%
-0.3537661 26
< 0.1%
-0.35371676 26
< 0.1%
-0.3533731 26
< 0.1%
ValueCountFrequency (%)
0.90939146 26
< 0.1%
0.9081799 26
< 0.1%
0.9001074 26
< 0.1%
0.891454 26
< 0.1%
0.88667655 26
< 0.1%
0.88376874 26
< 0.1%
0.8828222 26
< 0.1%
0.8759859 26
< 0.1%
0.8642985 26
< 0.1%
0.84842396 26
< 0.1%

Beta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1935
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45981737
Minimum0.049543567
Maximum1.0748814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size727.7 KiB
2024-11-05T18:02:30.628943image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.049543567
5-th percentile0.17480837
Q10.33639523
median0.4449709
Q30.5746812
95-th percentile0.7769933
Maximum1.0748814
Range1.0253378
Interquartile range (IQR)0.23828597

Descriptive statistics

Standard deviation0.181101
Coefficient of variation (CV)0.3938542
Kurtosis-0.016962809
Mean0.45981737
Median Absolute Deviation (MAD)0.1209524
Skewness0.3097722
Sum42823.711
Variance0.032797573
MonotonicityNot monotonic
2024-11-05T18:02:30.956076image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3990407 900
 
1.0%
0.6173399 840
 
0.9%
0.48539972 834
 
0.9%
0.3403542 804
 
0.9%
0.5476085 729
 
0.8%
0.064589 728
 
0.8%
0.1315783 720
 
0.8%
0.52843326 708
 
0.8%
0.26929384 696
 
0.7%
0.43662423 663
 
0.7%
Other values (1925) 85510
91.8%
ValueCountFrequency (%)
0.049543567 25
 
< 0.1%
0.050625026 26
 
< 0.1%
0.064589 728
0.8%
0.06567887 26
 
< 0.1%
0.069447376 26
 
< 0.1%
0.07981048 26
 
< 0.1%
0.08366265 130
 
0.1%
0.08677373 26
 
< 0.1%
0.09004222 26
 
< 0.1%
0.0918489 26
 
< 0.1%
ValueCountFrequency (%)
1.0748814 26
 
< 0.1%
1.066082 7
 
< 0.1%
1.0564932 26
 
< 0.1%
1.043301 26
 
< 0.1%
1.0363767 26
 
< 0.1%
1.0089102 26
 
< 0.1%
1.0055828 339
0.4%
0.9800615 260
0.3%
0.9788513 104
 
0.1%
0.95651793 26
 
< 0.1%

Gamma_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct2025
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.070968234
Minimum-0.5969919
Maximum1.3445399
Zeros0
Zeros (%)0.0%
Negative42302
Negative (%)45.4%
Memory size727.7 KiB
2024-11-05T18:02:31.212587image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.5969919
5-th percentile-0.3436672
Q1-0.12598455
median0.016369894
Q30.19904754
95-th percentile0.708888
Maximum1.3445399
Range1.9415318
Interquartile range (IQR)0.32503209

Descriptive statistics

Standard deviation0.30168894
Coefficient of variation (CV)4.2510419
Kurtosis1.7229835
Mean0.070968234
Median Absolute Deviation (MAD)0.16053399
Skewness1.092278
Sum6609.4136
Variance0.091016216
MonotonicityNot monotonic
2024-11-05T18:02:31.490140image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0077280127 1181
 
1.3%
-0.2717877 1032
 
1.1%
0.44820297 1013
 
1.1%
0.12553343 933
 
1.0%
0.4068729 892
 
1.0%
-0.088363536 834
 
0.9%
-0.14951174 811
 
0.9%
0.014247987 781
 
0.8%
0.003826943 729
 
0.8%
-0.14475177 728
 
0.8%
Other values (2015) 84198
90.4%
ValueCountFrequency (%)
-0.5969919 26
 
< 0.1%
-0.58273304 26
 
< 0.1%
-0.5794985 156
0.2%
-0.56458163 26
 
< 0.1%
-0.55935526 26
 
< 0.1%
-0.5562862 26
 
< 0.1%
-0.53166777 26
 
< 0.1%
-0.51305604 26
 
< 0.1%
-0.511893 15
 
< 0.1%
-0.5080461 26
 
< 0.1%
ValueCountFrequency (%)
1.3445399 37
 
< 0.1%
1.2933699 99
 
0.1%
1.2846258 26
 
< 0.1%
1.2580105 26
 
< 0.1%
1.2203779 26
 
< 0.1%
1.1974348 249
0.3%
1.1772791 26
 
< 0.1%
1.1338261 26
 
< 0.1%
1.1302731 127
0.1%
1.1142973 26
 
< 0.1%

Gamma_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct3447
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.20500166
Minimum-0.8295909
Maximum0.8094502
Zeros0
Zeros (%)0.0%
Negative71142
Negative (%)76.4%
Memory size727.7 KiB
2024-11-05T18:02:31.780152image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.8295909
5-th percentile-0.59519637
Q1-0.4174133
median-0.19135955
Q3-0.009196755
95-th percentile0.19235745
Maximum0.8094502
Range1.6390411
Interquartile range (IQR)0.40821654

Descriptive statistics

Standard deviation0.25684612
Coefficient of variation (CV)-1.2528978
Kurtosis-0.27455478
Mean-0.20500166
Median Absolute Deviation (MAD)0.20271489
Skewness0.21220496
Sum-19092.214
Variance0.065969931
MonotonicityNot monotonic
2024-11-05T18:02:32.111728image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.036538146 457
 
0.5%
0.17015988 451
 
0.5%
-0.25432777 333
 
0.4%
0.07710346 301
 
0.3%
0.090978965 260
 
0.3%
-0.56069773 234
 
0.3%
-0.23636563 234
 
0.3%
-0.030724622 234
 
0.3%
-0.040997162 233
 
0.3%
0.048773237 208
 
0.2%
Other values (3437) 90187
96.8%
ValueCountFrequency (%)
-0.8295909 26
< 0.1%
-0.82461727 26
< 0.1%
-0.8180178 26
< 0.1%
-0.79977834 26
< 0.1%
-0.7991709 26
< 0.1%
-0.78218067 26
< 0.1%
-0.7659654 26
< 0.1%
-0.76115215 26
< 0.1%
-0.74914527 26
< 0.1%
-0.7299861 26
< 0.1%
ValueCountFrequency (%)
0.8094502 26
< 0.1%
0.8072292 26
< 0.1%
0.8038292 26
< 0.1%
0.80115664 26
< 0.1%
0.798134 26
< 0.1%
0.7805455 26
< 0.1%
0.77086115 26
< 0.1%
0.755616 26
< 0.1%
0.7286724 26
< 0.1%
0.7135646 26
< 0.1%

Gamma_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct3323
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.26035189
Minimum-0.7907723
Maximum1.1862203
Zeros0
Zeros (%)0.0%
Negative84677
Negative (%)90.9%
Memory size727.7 KiB
2024-11-05T18:02:32.343508image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.7907723
5-th percentile-0.57159376
Q1-0.41528586
median-0.25417623
Q3-0.14165054
95-th percentile0.0828371
Maximum1.1862203
Range1.9769926
Interquartile range (IQR)0.27363532

Descriptive statistics

Standard deviation0.22323732
Coefficient of variation (CV)-0.85744457
Kurtosis6.3842376
Mean-0.26035189
Median Absolute Deviation (MAD)0.13521697
Skewness1.3699315
Sum-24247.092
Variance0.049834899
MonotonicityNot monotonic
2024-11-05T18:02:32.654713image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.23849684 552
 
0.6%
-0.07117519 399
 
0.4%
-0.19880469 390
 
0.4%
-0.32895526 379
 
0.4%
0.11664324 307
 
0.3%
-0.3364898 286
 
0.3%
0.10727837 267
 
0.3%
-0.5628077 260
 
0.3%
-0.25476888 260
 
0.3%
-0.18230899 217
 
0.2%
Other values (3313) 89815
96.4%
ValueCountFrequency (%)
-0.7907723 26
< 0.1%
-0.7628156 26
< 0.1%
-0.75986856 26
< 0.1%
-0.74315184 26
< 0.1%
-0.73116165 26
< 0.1%
-0.72902364 26
< 0.1%
-0.7210879 26
< 0.1%
-0.72012466 26
< 0.1%
-0.7088205 26
< 0.1%
-0.7070373 26
< 0.1%
ValueCountFrequency (%)
1.1862203 26
< 0.1%
1.184697 26
< 0.1%
1.1793607 26
< 0.1%
1.1774347 26
< 0.1%
1.1673771 26
< 0.1%
1.1642416 26
< 0.1%
1.1552193 26
< 0.1%
1.1447307 26
< 0.1%
1.1354862 26
< 0.1%
1.132828 26
< 0.1%

Gamma_TP10
Real number (ℝ)

Distinct1936
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0012392171
Minimum-0.51379126
Maximum0.79647547
Zeros0
Zeros (%)0.0%
Negative51537
Negative (%)55.3%
Memory size727.7 KiB
2024-11-05T18:02:33.152462image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.51379126
5-th percentile-0.2887315
Q1-0.13704656
median-0.021565398
Q30.1174116
95-th percentile0.33334973
Maximum0.79647547
Range1.3102667
Interquartile range (IQR)0.25445816

Descriptive statistics

Standard deviation0.20379222
Coefficient of variation (CV)-164.45239
Kurtosis1.4488695
Mean-0.0012392171
Median Absolute Deviation (MAD)0.12817604
Skewness0.71304684
Sum-115.41077
Variance0.041531269
MonotonicityNot monotonic
2024-11-05T18:02:33.624022image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.01032809 900
 
1.0%
-0.036811277 840
 
0.9%
-0.18212631 834
 
0.9%
0.065654196 804
 
0.9%
-0.021565398 729
 
0.8%
0.1174116 728
 
0.8%
-0.14974144 720
 
0.8%
-0.17260931 708
 
0.8%
-0.24880232 696
 
0.7%
-0.06524087 663
 
0.7%
Other values (1926) 85510
91.8%
ValueCountFrequency (%)
-0.51379126 249
0.3%
-0.50230336 193
0.2%
-0.5017858 26
 
< 0.1%
-0.4654321 26
 
< 0.1%
-0.43660116 26
 
< 0.1%
-0.4350215 26
 
< 0.1%
-0.4308847 26
 
< 0.1%
-0.42497525 461
0.5%
-0.4235262 26
 
< 0.1%
-0.42233744 26
 
< 0.1%
ValueCountFrequency (%)
0.79647547 26
 
< 0.1%
0.7914127 234
0.3%
0.79003894 7
 
< 0.1%
0.765733 26
 
< 0.1%
0.75960743 26
 
< 0.1%
0.75587165 301
0.3%
0.7403929 26
 
< 0.1%
0.7255035 26
 
< 0.1%
0.7182533 26
 
< 0.1%
0.70000166 104
 
0.1%

label
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.2 MiB
1
93132 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters93132
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 93132
100.0%

Length

2024-11-05T18:02:34.054508image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-05T18:02:34.307981image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1 93132
100.0%

Most occurring characters

ValueCountFrequency (%)
1 93132
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 93132
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 93132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 93132
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 93132
100.0%

Interactions

2024-11-05T18:02:12.754852image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:20.271127image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:23.284146image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:25.668725image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:27.931135image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:30.555492image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:33.116027image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:35.413138image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:38.029033image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:40.317915image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:42.692574image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:44.798717image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:47.318740image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:49.586648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:51.821332image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:54.226245image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:56.426026image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:00.323248image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:03.790728image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:07.657204image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:13.051719image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:20.405744image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:23.400077image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:25.783537image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:28.044742image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:30.682485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:33.233831image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:35.531584image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:38.150603image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:40.432878image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:42.804722image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:44.922096image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:47.435671image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:49.705695image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:51.936842image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:54.334434image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:56.537880image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:00.537087image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:04.039541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:07.983704image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:13.249905image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:20.555725image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:23.516531image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:25.886152image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:28.147227image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:30.790199image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:33.351218image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:35.634891image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:38.262678image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:40.537927image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:42.905557image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:45.028656image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:47.534955image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:49.819482image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:52.035937image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:54.431991image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:56.648798image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:00.707002image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:04.226429image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:08.213144image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:13.451645image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:20.717252image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:23.618502image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:26.000101image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:28.238796image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:30.918457image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:33.453583image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:35.732829image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:38.364981image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:40.638665image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:42.998980image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:45.420226image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:47.650151image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:49.927507image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:52.135750image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:54.536747image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:56.752612image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:00.852698image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:04.390265image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:08.584740image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:13.834556image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:20.874781image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:23.717423image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:26.119127image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:28.335045image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:31.051861image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:33.551749image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:35.844434image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:38.467643image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:40.748257image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:43.097408image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:45.515094image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:47.749369image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:50.035361image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:52.231904image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:54.635273image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:56.871478image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:00.997062image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:04.594763image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:08.834856image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:14.153136image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:21.050904image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:23.834830image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:26.236713image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:28.439307image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:31.196505image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:33.665264image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:35.962167image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:38.585234image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:40.866431image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:43.201127image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:45.619990image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:47.883493image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:50.152798image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-11-05T18:01:55.868802image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:59.107931image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:03.056301image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:06.700061image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:11.477359image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:17.131104image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:22.767988image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:25.192272image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:27.474231image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:30.014866image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:32.550136image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:34.953642image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:37.286391image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:39.850230image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:42.232912image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:44.384470image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:46.893462image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:49.088658image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:51.386522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:53.769027image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:55.969249image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:59.388205image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:03.174312image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:06.907131image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:11.639107image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:17.305022image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:22.919490image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:25.319345image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:27.588537image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:30.143194image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:32.733479image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:35.069913image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:37.686763image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:39.965736image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:42.349813image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:44.486221image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:47.002422image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:49.202977image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:51.501925image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:53.887729image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:56.086611image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:59.667501image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:03.305118image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:07.136137image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:11.866280image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:17.488299image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:23.036270image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:25.435928image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:27.700406image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:30.287599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:32.866064image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:35.180569image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:37.801211image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:40.082512image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:42.458543image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:44.588505image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:47.109400image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:49.317824image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:51.604244image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:54.000965image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:56.200816image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:59.916749image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:03.517192image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:07.326556image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:12.166391image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:17.652559image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:23.167611image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:25.552613image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:27.820562image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:30.426799image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:32.995123image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:35.302652image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:37.917396image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:40.202164image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:42.577832image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:44.700070image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:47.218715image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:49.428455image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:51.718611image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:54.122377image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:01:56.320723image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:00.123003image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:03.654255image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:07.514660image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-05T18:02:12.500891image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-11-05T18:02:34.601786image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Alpha_AF7Alpha_AF8Alpha_TP10Alpha_TP9Beta_AF7Beta_AF8Beta_TP10Beta_TP9Delta_AF7Delta_AF8Delta_TP10Delta_TP9Gamma_AF7Gamma_AF8Gamma_TP10Gamma_TP9Theta_AF7Theta_AF8Theta_TP10Theta_TP9
Alpha_AF71.0000.2910.1090.1480.2090.1080.1610.1350.5420.2390.1460.1390.1720.0990.1610.0610.6290.2980.1270.180
Alpha_AF80.2911.0000.2140.2150.1780.0680.2120.2410.2680.5560.1750.2330.162-0.0430.1820.2490.3460.6500.1660.244
Alpha_TP100.1090.2141.0000.4300.1070.0860.5410.248-0.0610.0360.3990.2100.0770.0560.3770.187-0.0410.0580.5460.341
Alpha_TP90.1480.2150.4301.0000.076-0.0530.2720.6020.0890.2200.3220.5190.106-0.0770.2190.5540.0840.1960.3610.613
Beta_AF70.2090.1780.1070.0761.0000.2850.1570.2350.2390.2050.0640.1440.8440.4800.1950.1850.1960.1810.1420.161
Beta_AF80.1080.0680.086-0.0530.2851.0000.1620.0730.059-0.0280.0510.0400.2680.5790.1290.0120.0870.0320.0930.039
Beta_TP100.1610.2120.5410.2720.1570.1621.0000.3450.1250.1920.3520.2100.1670.0680.4850.2450.1410.2080.4330.322
Beta_TP90.1350.2410.2480.6020.2350.0730.3451.0000.2390.3450.3150.3900.2480.0060.2740.6900.2100.3350.3000.420
Delta_AF70.5420.268-0.0610.0890.2390.0590.1250.2391.0000.5790.1810.1810.2500.1130.1580.2250.8430.5110.1490.124
Delta_AF80.2390.5560.0360.2200.205-0.0280.1920.3450.5791.0000.2140.2890.208-0.0410.1970.3660.4850.8370.1790.236
Delta_TP100.1460.1750.3990.3220.0640.0510.3520.3150.1810.2141.0000.4960.061-0.0030.3520.1570.1660.2070.6430.377
Delta_TP90.1390.2330.2100.5190.1440.0400.2100.3900.1810.2890.4961.0000.1970.0400.2430.3440.2070.2740.3670.697
Gamma_AF70.1720.1620.0770.1060.8440.2680.1670.2480.2500.2080.0610.1971.0000.5180.2450.2420.2300.1890.1150.161
Gamma_AF80.099-0.0430.056-0.0770.4800.5790.0680.0060.113-0.041-0.0030.0400.5181.0000.169-0.0720.112-0.0510.0480.013
Gamma_TP100.1610.1820.3770.2190.1950.1290.4850.2740.1580.1970.3520.2430.2450.1691.0000.3050.1530.1900.3420.258
Gamma_TP90.0610.2490.1870.5540.1850.0120.2450.6900.2250.3660.1570.3440.242-0.0720.3051.0000.1770.3350.2600.321
Theta_AF70.6290.346-0.0410.0840.1960.0870.1410.2100.8430.4850.1660.2070.2300.1120.1530.1771.0000.4990.1590.181
Theta_AF80.2980.6500.0580.1960.1810.0320.2080.3350.5110.8370.2070.2740.189-0.0510.1900.3350.4991.0000.1900.271
Theta_TP100.1270.1660.5460.3610.1420.0930.4330.3000.1490.1790.6430.3670.1150.0480.3420.2600.1590.1901.0000.513
Theta_TP90.1800.2440.3410.6130.1610.0390.3220.4200.1240.2360.3770.6970.1610.0130.2580.3210.1810.2710.5131.000

Missing values

2024-11-05T18:02:18.590432image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-11-05T18:02:19.538185image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

TimeStampDelta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10label
02024-10-11 20:07:27.8950.8621011.2394281.2440760.7264670.9174680.8042290.8583251.0216680.7231160.5083820.4766140.1757360.655273-0.141676-0.2182330.7501540.356707-0.342655-0.4183810.2819881
12024-10-11 20:07:27.9000.8621011.2394281.2440760.7264670.9174680.8042290.8583251.0216680.7231160.5083820.4766140.1757360.655273-0.141676-0.2182330.7501540.356707-0.342655-0.4183810.2819881
22024-10-11 20:07:27.9020.8621011.2394281.2440760.7264670.9174680.8042290.8583251.0216680.7231160.5083820.4766140.1757360.655273-0.141676-0.2182330.7501540.356707-0.342655-0.4183810.2819881
32024-10-11 20:07:27.9040.8621011.2394281.2440760.7264670.9174680.8042290.8583251.0216680.7231160.5083820.4766140.1757360.655273-0.141676-0.2182330.7501540.356707-0.342655-0.4183810.2819881
42024-10-11 20:07:27.9050.8621011.2394281.2440760.7264670.9174680.8042290.8583251.0216680.7231160.5083820.4766140.1757360.655273-0.141676-0.2182330.7501540.356707-0.342655-0.4183810.2819881
52024-10-11 20:07:27.9060.8621011.2394281.2440760.7264670.9174680.8042290.8583251.0216680.7231160.5083820.4766140.1757360.655273-0.141676-0.2182330.7501540.356707-0.342655-0.4183810.2819881
62024-10-11 20:07:27.9080.8621011.2394281.2440760.7264670.9174680.8042290.8583251.0216680.7231160.5083820.4766140.1757360.655273-0.141676-0.2182330.7501540.356707-0.342655-0.4183810.2819881
72024-10-11 20:07:27.9090.8621011.2394281.2440760.7264670.9174680.8042290.8583251.0216680.7231160.5083820.4766140.1757360.655273-0.141676-0.2182330.7501540.356707-0.342655-0.4183810.2819881
82024-10-11 20:07:27.9110.8621011.2394281.2440760.7264670.9174680.8042290.8583251.0216680.7231160.5083820.4766140.1757360.655273-0.141676-0.2182330.7501540.356707-0.342655-0.4183810.2819881
92024-10-11 20:07:27.9120.8621011.2220631.1804930.7264670.9174680.7733380.7959631.0216680.7231160.5083820.4766140.1757360.655273-0.151856-0.2034320.7501540.356707-0.360098-0.4385920.2819881
TimeStampDelta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10label
931222024-10-11 20:28:58.4030.311739-0.247687-0.2666020.3448310.176105-0.322092-0.3740620.3212180.576059-0.055-0.0820990.6346740.239179-0.1954260.2043880.447559-0.345086-0.579042-0.166173-0.0897061
931232024-10-11 20:28:58.4040.311739-0.247687-0.2666020.3448310.176105-0.322092-0.3740620.3212180.576059-0.055-0.0820990.6346740.239179-0.1954260.2043880.447559-0.345086-0.579042-0.166173-0.0897061
931242024-10-11 20:28:58.4050.311739-0.247687-0.2666020.3448310.176105-0.322092-0.3740620.3212180.576059-0.055-0.0820990.6346740.239179-0.1954260.2043880.447559-0.345086-0.579042-0.166173-0.0897061
931252024-10-11 20:28:58.4060.311739-0.247687-0.2666020.3448310.176105-0.322092-0.3740620.3212180.576059-0.055-0.0820990.6346740.239179-0.1954260.2043880.447559-0.345086-0.579042-0.166173-0.0897061
931262024-10-11 20:28:58.4070.311739-0.247687-0.2666020.3448310.176105-0.322092-0.3740620.3212180.576059-0.055-0.0820990.6346740.239179-0.1954260.2043880.447559-0.345086-0.579042-0.166173-0.0897061
931272024-10-11 20:28:58.4070.311739-0.247687-0.2666020.3448310.176105-0.322092-0.3740620.3212180.576059-0.055-0.0820990.6346740.239179-0.1954260.2043880.447559-0.345086-0.579042-0.166173-0.0897061
931282024-10-11 20:28:58.4080.311739-0.247687-0.2666020.3448310.176105-0.322092-0.3740620.3212180.576059-0.055-0.0820990.6346740.239179-0.1954260.2043880.447559-0.345086-0.579042-0.166173-0.0897061
931292024-10-11 20:28:58.4090.311739-0.247687-0.2666020.3448310.176105-0.322092-0.3740620.3212180.576059-0.055-0.0820990.6346740.239179-0.1954260.2043880.447559-0.345086-0.579042-0.166173-0.0897061
931302024-10-11 20:28:58.4090.311739-0.247687-0.2666020.3448310.176105-0.322092-0.3740620.3212180.576059-0.055-0.0820990.6346740.239179-0.1954260.2043880.447559-0.345086-0.579042-0.166173-0.0897061
931312024-10-11 20:28:58.4100.311739-0.247687-0.2666020.3448310.176105-0.322092-0.3740620.3212180.576059-0.055-0.0820990.6346740.239179-0.1954260.2043880.447559-0.345086-0.579042-0.166173-0.0897061

Duplicate rows

Most frequently occurring

TimeStampDelta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10label# duplicates
102024-10-11 20:07:28.1130.8621011.0663851.0821130.7264670.9174680.5554050.7016631.0216680.7231160.4800140.4856480.1757360.655273-0.214211-0.1960710.7501540.356707-0.422133-0.4853380.28198813
1722024-10-11 20:07:29.9200.4736220.3099920.9544210.3829590.3051700.4524500.5905040.1779080.5714120.4871760.4450180.9060330.327790-0.0890230.0293940.929177-0.050032-0.360477-0.3333170.33335013
2292024-10-11 20:07:30.5930.950136-0.1211440.4505050.5783130.664731-0.0043370.0775910.6015240.6264150.1598900.1562990.9483580.336842-0.018151-0.0473080.825524-0.079339-0.432965-0.4753290.24091113
3212024-10-11 20:07:31.6951.0704440.1939850.4805270.6524410.7086320.1667900.2075850.5920010.605672-0.0685750.2416140.6217160.480564-0.209108-0.1520690.4757380.234301-0.499190-0.5328720.16633813
6622024-10-11 20:08:36.1210.3034530.4592140.5569890.9700810.4363800.0506300.4027140.5947070.7366500.2034740.4881230.9993310.5064640.152331-0.0513830.7760240.037170-0.417190-0.4007370.20407913
7362024-10-11 20:08:36.9760.3199750.2560170.3907830.5321770.390084-0.1142260.3337790.2234070.4925500.1466460.3432550.7522660.324121-0.077354-0.0384820.676225-0.155230-0.578679-0.541048-0.05178113
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